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Which Study Techniques Actually Work? 10 Methods Ranked by Evidence

Memory science9 Jul 2026 · 7 min read · The StudyTab Team

Most study advice is folklore — passed from topper interviews to coaching WhatsApp groups without anyone checking whether it's true. But the checking has actually been done. In the most cited review in the field, Dunlosky and colleagues (2013) evaluated ten popular learning techniques against decades of experiments, grading each on whether its benefits hold up across materials, learners and — crucially — delays, because an exam is always a delayed test.

The result is uncomfortable: the techniques most students lean on hardest ranked at the bottom, and only two ranked high. Here is the full scorecard, what the numbers behind it say, and how to actually run your revision on the winners.

The scorecard

TechniqueWhat it isVerdict (Dunlosky et al., 2013)
Practice testingRetrieving answers from memory (self-quizzing, flashcards, past papers)HIGH
Distributed practiceSpreading study of a topic across sessions over timeHIGH
Interleaved practiceMixing problem types/topics within a sessionModerate
Elaborative interrogationAsking and answering "why is this true?"Moderate
Self-explanationExplaining how new information connects to what you knowModerate
Re-readingReading the material againLow
Highlighting / underliningMarking text while readingLow
SummarizationWriting summaries of the materialLow
Keyword mnemonicLinking terms via imagery-based keywordsLow
Imagery for textForming mental images while readingLow

Read that table honestly and one conclusion falls out: the standard revision routine — read, highlight, summarise, re-read — is built entirely from the low-utility row.

The two that work

1. Practice testing (active recall)

The single best-supported technique in learning science. The signature experiments:

  • Roediger and Karpicke (2006): students who self-tested recalled 61% of material a week later; students who re-read it for the same time recalled 40%.
  • Karpicke and Roediger (2008): once an item was learned, continuing to retrieve it kept one-week recall at ~80%; continuing to re-study it instead left ~35%. The retrievals were the learning.
  • Karpicke and Blunt (2011): retrieval practice even beat elaborate concept-mapping of the same text — by around 50% on a delayed test — and three-quarters of participants predicted the opposite outcome.
  • Adesope et al. (2017): a meta-analysis of 272 effects across 15,427 learners confirmed practice testing beats restudying with a robust medium-to-large advantage (g = 0.61).
Self-testingRe-readingRe-reading, 5 minutes later: 83%Re-reading, 1 week later: 40%Self-testing, 5 minutes later: 71%Self-testing, 1 week later: 61%83%71%40%61%5 minutes after studyOne week later
The learning–performance flip: Roediger and Karpicke (2006), Experiment 2. The method that feels better five minutes after study loses the week.

The mechanism matters for how you use it: every effortful, successful retrieval strengthens the memory far more than another exposure does. Testing is not how you check learning; testing is the learning. (Full deep dive.)

2. Distributed practice (spacing)

The other high-utility technique, and the oldest quantified effect in psychology — measured by Ebbinghaus in 1885 and replicated point-for-point in 2015 (Murre & Dros). The modern evidence base is enormous: across 317 experiments synthesised by Cepeda et al. (2006), the same study time produced 47% recall when spaced versus 37% when massed. Follow-up work (Cepeda et al., 2008; 1,354 learners) even mapped the optimal gaps: the further away your exam, the wider your reviews should be spread. (Full deep dive, and why cramming — massed practice — fails.)

Combine the two high-utility techniques — retrieval, on a widening schedule — and you have spaced repetition. That's not a coincidence; it's the entire design.

The three in the middle

Interleaved practice — mixing problem types instead of finishing one type before the next — earned only a moderate rating overall, but its exam-prep case is stronger than the grade suggests: interleaved maths practice beat blocked practice 63% to 20% on a delayed test (Rohrer & Taylor, 2007) and 74% to 42% a month after a real classroom intervention (Rohrer et al., 2015). It shines exactly where exams punish you: telling confusable problem types apart. (Full deep dive.)

Elaborative interrogation (relentlessly asking why is this true?) and self-explanation (explaining how the new fact connects to what you already know) both reliably help — they force you to process meaning rather than surface. They rated moderate mainly because the research base is thinner on long delays and complex materials, not because they backfire. Use them at first contact with new material; use testing and spacing to keep it.

The five that waste your revision time

  • Re-reading — the most popular technique in student surveys and the clearest loser in delayed tests. Its benefit is fluency, and fluency is not memory.
  • Highlighting — marking text does nothing to encode it; some studies find highlighters do worse, because isolated marked phrases discourage connecting ideas. Highlight to index a page, never to learn it.
  • Summarization — helps only with real training in doing it well; as students actually practise it, gains are small and unreliable.
  • Keyword mnemonics and mental imagery — fine for narrow jobs (vocabulary lists, ordered items), but they don't generalise, don't survive delays well, and cost effort that testing would repay tenfold.

The pattern behind all five: they are input techniques. Memory is built on output — retrieval — and none of them ever asks your brain to produce anything.

Why students choose the losers

Because the losers feel better, and the winners feel worse. This is measured, not rhetorical:

  • Re-reading creates fluency that your brain misreads as knowledge — learners with the answer in front of them predicted 76% recall and delivered 60% (Koriat & Bjork, 2005).
  • In the Karpicke–Roediger retrieval studies, every group predicted the same exam result; the group that actually scored 80% couldn't feel its advantage.
  • After interleaving demonstrably outperformed blocking, most participants still said blocking had worked better for them (Kornell & Bjork, 2008).

Soderstrom and Bjork (2015) call this the learning–performance distinction: what boosts performance during study (smoothness, fluency, massing) often impairs long-term learning, and vice versa. The practical rule is blunt: never judge a study method by how the session felt. Judge it by a delayed test.

Running the winners in StudyTab

Knowing the rankings is worth little if the winning techniques cost too much effort to sustain. This is exactly the problem StudyTab is built to remove:

  • Practice testing, manufactured for you. The AI flashcard generator turns PDFs, YouTube lectures and handwritten notes into retrieval questions — cloze deletions for formulas, MCQs in NEET/JEE format, picture quizzes for diagrams — so the highest-utility technique starts today instead of after a week of card-writing.
  • Distributed practice, on autopilot. FSRS schedules every card at its own optimal gap and the workload forecast shows your daily load through exam season. The second high-utility technique becomes a 20–40 minute daily habit you never plan.
  • Interleaving, for free. Reviewing by due date mixes topics automatically — every session is a shuffled mini-exam.
  • Elaborative interrogation, on demand. StudyTab's AI tutor is grounded in your uploaded material — ask it "why is this true?" or have it quiz you Socratically, then convert what you got wrong into cards.
  • A delayed test you can see. The knowledge graph tracks concept-level mastery over time (green to red) — the honest, fluency-proof answer to "is my revision working?"

Bottom line

A decade-old, 58-page review already settled what works: test yourself, space it out — with interleaving, why-questions and self-explanation as strong supporting acts — and retire re-reading, highlighting and summarising as learning methods. The catch is that the winners feel worse while you do them, so trust the delayed-test data over your gut. Build your revision so retrieval and spacing happen by default, and the evidence compounds in your favour every single day.

Frequently asked questions

What is the most effective study technique according to research?

Practice testing (active recall) — retrieving answers from memory via self-quizzing, flashcards or past papers. It is one of only two techniques rated high-utility in the landmark Dunlosky et al. (2013) review, backed by a meta-analysis of 272 experiments (g = 0.61). Distributed practice (spacing study over time) is the other high-utility technique, and spaced repetition combines both.

Which study techniques did research rank lowest?

Re-reading, highlighting/underlining, summarization, keyword mnemonics and mental imagery for text were all rated low-utility by Dunlosky et al. (2013) — their benefits are small, unreliable, or vanish on delayed tests. These are also the techniques students report using most.

Is highlighting while studying a waste of time?

As a learning technique, essentially yes — controlled studies find highlighting adds little and can even hurt by fragmenting attention onto isolated phrases. It is fine as a way to index a page for later card-making, but the learning happens when you later test yourself on the marked material, not when you mark it.

What are the best study techniques for NEET, JEE and UPSC?

The two high-utility techniques matter most precisely for huge, delayed exams: practice testing (convert everything into questions — MCQs, cloze formula cards, past papers) and distributed practice (let a spaced-repetition scheduler keep every topic alive for months). Add interleaving — mixed problem sets — because these exams deliberately test confusable problem types.

Why do ineffective techniques like re-reading feel productive?

Because they create fluency — the material feels smoother each pass — and your brain misreads fluency as knowledge. Experiments show learners consistently over-predict recall after passive study and cannot feel the advantage of better methods even while it is happening. Judge techniques by delayed self-tests, never by how the session felt.

References

  1. Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58.
  2. Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.
  3. Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319(5865), 966–968.
  4. Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772–775.
  5. Adesope, O. O., Trevisan, D. A., & Sundararajan, N. (2017). Rethinking the use of tests: A meta-analysis of practice testing. Review of Educational Research, 87(3), 659–701.
  6. Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380.
  7. Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102.
  8. Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35(6), 481–498.
  9. Rohrer, D., Dedrick, R. F., & Stershic, S. (2015). Interleaved practice improves mathematics learning. Journal of Educational Psychology, 107(3), 900–908.
  10. Kornell, N., & Bjork, R. A. (2008). Learning concepts and categories: Is spacing the “enemy of induction”? Psychological Science, 19(6), 585–592.
  11. Koriat, A., & Bjork, R. A. (2005). Illusions of competence in monitoring one’s knowledge during study. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(2), 187–194.
  12. Soderstrom, N. C., & Bjork, R. A. (2015). Learning versus performance: An integrative review. Perspectives on Psychological Science, 10(2), 176–199.